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BC memory-enhancer-pro

Memory Enhancer Pro - 专业版记忆增强工具，让 AI 记住所有重要信息。 支持语义搜索、自动提炼、智能分类、Token 优化、定时任务。 优化 token 消耗 30-60%，自动压缩旧记忆。功能超越基础版。 关键词：memory, enhancer, pro, search, ai, token-optimizer, rag, semantic

ClawHub Agent Skills author: williamwg2025 v0.1.5 MIT-0 12 files body ≈ 467 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
99
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention scripts/scheduled-optimizer.py:181
    Mentions editing / listing crontab (string literal in code, not executed)
    print(f"\n添加到 crontab (crontab -e):")
    code literal

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "acceptLicenseTerms"

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (memory-enhancer-pro) differs from the folder (openclaw-memory-enhancer-pro)
  • 100Tools and files. No external tools needed
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 467 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -220 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 184: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (4 code blocks)
  • +3All 6 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This memory-management skill appears local and not malicious, but it should be reviewed because it reads sensitive OpenClaw memory/profile files and has confusing paths that can write outside the Pro skill folder.
LLM: suspicious (high) · VirusTotal: · 29 May 2026